Building and interpreting nonthematic A-positions
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Movement and resumption both Merge a DP in a nonthematic position and interpret it through a free variable. This predicts their symmetric distribution and the existence of resumption on the ‘core’ A-position of [Spec, TP], or A-resumption . It is argued that the prediction is correct, and mechanics are developed to build both movement and resumption by Merge, Agree, and the interpretation of nonthematic positions. A-resumption on [Spec, TP] falls into two types. When T participates in φ-Agree, the DP Merged in [Spec, TP] must be interpretively linked to the variable identified by φ-Agree. Locality tends to limit the goal to a domain where it must be a copy/gap for Case reasons, so the composition of Agree and Merge results in movement. However, when a finite TP boundary is penetrable to φ-Agree, there surfaces an A-resumption pattern constrained by the locality of φ-Agree, including the copy-raising of English The cat i seems like it i ’s got Spiro’s tongue . When T does not φ-Agree with a DP goal, the location of the variable interpreting [Spec, TP] is unconstrained. This is the situation in Breton, which allows A- resumption structures of the type The boati was shot at it i . The patterns of A- resumption restricted and unrestricted by φ-Agree match parallel patterns found in A′-resumption in recent work.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it